We’re seeing two kinds of autonomy emerge right now: the autonomy of machines—agents that execute without waiting on anyone. And the autonomy of people—experts free to build without waiting on a team, a title, or a budget. 

Earlier this year, ClickUp laid off 22% of its workforce. CEO Zeb Evans's memo stated that savings from the layoffs "will flow directly back into the people who stay," with million-dollar salary bands for outsized AI impact.

ClickUp is reportedly running 3,000 internal agents that handle complex tasks, with staff now directing those agents and reviewing their output. In practice, that replaces producer-level employees with senior people who manage agents. Evans calls this a "100x org." Instead of gamifying token cost, ClickUp is gamifying value created and time saved. 

That's machine autonomy: the work runs itself, and people supervise.

When execution moves to agents, the management layer loses its reason to exist, and titles stop carrying signal. The "100x org" trend is spreading, with companies moving toward hiring senior-level ICs over managers. Even upper-level managers and founders (Directors, VPs, and C-level executives) are giving up their titles to become technical staff at fast-growing companies like Anthropic and OpenAI.

For most professionals, a title does more than describe a job. It's how they explain who they are and how others decide to trust them. When titles stop carrying signal, credibility needs somewhere else to live. 

This week beehiiv co-founder and CEO Tyler Denk announced in a manifesto that he eliminated internal titles for its ~130 employees. His reasoning: every hour spent on internal processes is an hour not spent doing the job, listening to customers, building new products, and improving the service. 

According to Denk, title and salary debates ate ~15 hours of meetings, slowing growth and reducing revenue. Now, employees are either ICs or "lead" if they manage a team. Denk has shared how extensively the team uses AI to ship faster, but the title move adds a different kind of speed: subtraction. 

That's people autonomy: remove the layers and let people move.

Both examples share the same underlying driver: speed.

But speed comes with a cost. ClickUp pays for it in tokens. beehiiv pays for it by cutting the meetings, layers, and titles that slow people down. Once speed shows up as a token bill, companies split in two directions based on their stance on AI.

Direction one replaces producers with agents managed by seniors. Direction two is the token-spend dichotomy: AI spending got too high, so companies are hiring junior-level staff to save money. 

According to a Gartner survey of $1B+ companies, ~80% of organizations piloting or deploying autonomous tech have cut jobs, but those cuts aren't translating into meaningful returns. Uber burned through its entire 2026 AI budget by April, and Microsoft reportedly canceled its Claude Code licenses in favor of its own tools, with many speculating that cost drove the decision.

The camp rehiring juniors is solving more than a budget problem. Junior roles are where expertise used to get built, and an economy that runs on SMEs still needs somewhere to make them.

To have autonomy, you also need judgment. Tokenmaxxing is no different than posting more content when growth stalls—both mistake output for progress. Machine or human, autonomy only pays off when someone decides what's worth doing.

The emphasis on speed is driving an economy of autonomy, where everyone is a builder. It eliminates bottlenecks, removes barriers to creation, and gives people who wear multiple hats an advantage.

Tools like Lovable make it easy to build and ship fast, turning domain experts into builders and repeating the content economy's curve. Its 2026 Build Economy report found that 80% of builders are non-technical and 8 in 10 plan to monetize, based on self-reported user data.

Once anyone can ship, building stops being the moat, and the advantage shifts to knowing what's worth building. Easy building raises the floor, and expertise sets the ceiling. 

The winners of this movement are subject matter experts who use AI to remove friction and build something that reflects their skill set, whether they're in-house or an entrepreneur. 

The knowledge creator is already that person, an SME already building outside the org chart. In an economy of autonomy, they're the most autonomous worker there is: no title to lose and a platform they own. 

As titles dissolve, credibility locked behind corporate walls loses its container, and the body of work they own becomes the credential. Your framework can turn into a diagnostic, calculator, or paid tool. Media becomes the front door, and what you build is the business behind it.

Agents made execution abundant the same way AI made content abundant, and in both cases scarcity moved upstream to judgment. The experts who come out ahead are the ones whose depth is already visible, portable, and durable, beyond any single platform, job title, or moment.

As titles dissolve, pay concentrates around the people who create outsized impact, and the cost of building collapses, credentials don’t carry the same weight as they used to. Now, it’s about what you build with them.